This repository is based on the cnn-nolearn repository with modifications for multiclass segmentation (both iSeg and BraTS). At some point I might merge the changes. ~~~However, the final approach (and most likely weights) for the challenge will be public here.~~~ The approaches contained here are just experimental and not final. They do not represent the approaches we presented to any MICCAI's challenge.
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Repository with models, experiments and approaches for the BraTS 2017 and iSeg segmentation challenges.
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marianocabezas/challenges2017
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Repository with models, experiments and approaches for the BraTS 2017 and iSeg segmentation challenges.
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